Issues

Add 'without quotes' option for header to exportFile

Add `rule_generation_netrees` parameter to rulefit page

Missing syntax highlight Random Grid search Python example

Add parameter lambda_min to GLM output parameter

Mention ONNX support in our documentation

provide ROC curve and data for it

Add information about how early stopping is used to tune models in the User Guide

Create better learning curve function in R and Python

Get original categorical features from the model for h2o.varimp_heatmap()

Show missing values in numeric PDP plots

CV Frames have all the same number of rows as training frame

3.32.0.1 Release Notes

CoxPH performance fails, if factor used as event_column

Add code examples for all the new explainability plotting functions in Python

Allow h2o.varimp() to use ggplot2 in addition to base R plotting

Fill in Variable Importance user guide page with info about non-tree-based models

Add code examples for all the new explainability plotting functions in R

Add a `topbasemodel` attribute to AutoML

XGBoost Fails With AssertionError When Specifying Custom Fold Column

Add support for list of models to the h2o.get_leaderboard function

Speed up model_summary computations in AutoML Stacked Ensembles in R

Update `validation_frame` definition for unsupervised algorithms

Update Rulefit page default values

Change empty list defaults to NULL for arguments in R API